Waymo
Autonomous Vehicles
SeniorSoftwareEngineer,ML/EvalDataPlatforms&Infrastructure
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“Senior Software Engineer, ML/Eval Data Platforms & Infrastructure at Waymo. Skills: ML datasets, Data pipelines, Data platforms. Develop and productionize data pipelines. Generate high-quality ML datasets”
What You'll Achieve.
Improve planner evaluation; Improve onboard software quality
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
Master's degree or PhD, 3+ years professional software engineering experience, Hands-on distributed systems experience, Proficiency in C++ or Python, Technical communication skills, Collaboration skills
Nice to Have
Experience with A experiment infrastructure, Exposure to ad-hoc data analysis utilizing SQL, Prior experience working within the autonomous vehicle (AV) industry
What You'll Do.
Develop and productionize data pipelines
Generate high-quality ML datasets
Design and implement robust tools
Extract insights from large-scale datasets
Drive data-driven decisions
and maintain data platforms
Process Waymo driving logs
Process simulation data
Ensure dataset generation is fresh
Ensure dataset generation is accurate
Ensure dataset generation is complete
Own and execute complex projects
Translate ambiguous requirements
Collaborate cross-functionally
Engineer infrastructure solutions
How You'll Work.
Team & Collaboration
Data Science teams; Quantitative Analytics teams
Communication Scope
Technical communication
Full Job Description
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U. S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Develop and productionize data pipelines to generate high-quality ML and evaluation datasets, streamlining curation, sampling, and slicing for training and testing the Waymo Driver software. Design and implement robust tools and infrastructure for data mining, exploration, and analysis to extract insights from large-scale datasets and drive data-driven decisions. Architect, build, and maintain large-scale data platforms to process Waymo driving logs and simulation data, ensuring dataset generation is fresh, accurate, and complete. Own and execute complex projects, successfully translating ambiguous requirements into high-impact deliverables. Collaborate cross-functionally with Data Science and Quantitative
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